Research on Recommendation Algorithm in Social Networks

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Abstract:

Research status and development of the recommendation system are studied, the focus of evaluation of recommender system and recommender system based on social network in two aspects, and puts forward some improved algorithm, and achieved certain results. KDD Cup 2012 Track data for the simulation experiments on the correlation algorithm based on search engine, has been shown in different positions on the relative attractiveness of advertising, numerical user. At the same time, rapid calculation of the degree of correlation between a user and other users of an algorithm is given, and then quickly given the recommendation results. KDD Cup 2012 Track data for the simulation experiment of the algorithm, and the analysis result is given.

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1865-1868

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January 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Schafer, J.B., Frankowski, D., Herlocker, J., Sen, S.: Collaborative filtering recommender systems. In: The Adaptive Web, Springer Berlin , 2007: 291–324.

DOI: 10.1007/978-3-540-72079-9_9

Google Scholar

[2] Mahmood, T., Ricci, F.: Towards learning user-adaptive state models in a conversational recommender system. In: A. Hinneburg (ed. ) LWA 2007: Lernen - Wissen - Adaption, Halle, September 2007, Workshop Proceedings, Martin-Luther-University, 2007: 373–378.

Google Scholar

[3] Ben-Shimon, D., Tsikinovsky, A., Rokach, L., Meisels, A., Shani, G., Naamani, L.: Recommender system from personal social networks. In: K. Wegrzyn-Wolska, P.S. Szczepaniak (eds. ) AWIC, Advances in Soft Computing, Springer , 2007: 47–55.

DOI: 10.1007/978-3-540-72575-6_8

Google Scholar

[4] Golbeck, J.: Generating predictive movie recommendations from trust in social networks. In: Trust Management, 4th International Conference, iTrust Proceedings, 2006: 93–104.

DOI: 10.1007/11755593_8

Google Scholar

[5] McSherry, F., Mironov, I.: Differentially private recommender systems: building privacy into the net. In: KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 2009: 627–636.

DOI: 10.1145/1557019.1557090

Google Scholar